Expected Outcomes
- Unified event model across Flespi and Wialon data streams.
- Cleaner downstream analytics with normalized payloads.
- Reduced duplication in transformation logic.
- Controlled latency for operations and reporting use cases.
Solution
Flespi and Wialon Integration
Some fleets need both Wialon operational workflows and Flespi-level telemetry flexibility. We design integration architecture that keeps both systems aligned without duplicate logic.
Implementation Process
Step 1
Telemetry scope definition
We identify which events should be sourced from Wialon, Flespi, or both for each use case.
Step 2
Normalization layer
We build a shared schema and mapping rules to standardize mixed-source payloads.
Step 3
Delivery and replay strategy
We implement queueing, retries, and replay-safe handlers for resilient processing.
Step 4
Monitoring and cost control
We track throughput, lag, and processing cost so scale does not erode margins.
FAQ
When is dual-stack worth it?
It is worth it when standard Wialon events are not enough for your telemetry use cases or data science workflows.
Can we migrate incrementally?
Yes. We support phased migration where critical workflows stay stable while new streams are introduced.
How do you prevent event duplication?
We apply source-of-truth rules and idempotent processing so the same business event is counted once.